Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 19:29 UTC

git-cola / git-cola

git-cola: The highly caffeinated Git GUI

PythonGPL-2.0★ 2,573 stars⑂ 481 forkssince Jun 2008View on GitHub ↗
KindLibraryCommand-line toolDesktop applicationhow this is determined

git-cola/git-cola holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on AI Readiness (60/100). It was last updated 5 days ago. A single contributor accounts for most of its recent work.

91
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

91
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

git-colaOrganization
25 followers2 public repossince Sep 2011

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIgit-cola4.19.07223962 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

91Excellent · 21% of overall
How it's scored
36/36Push recency — last push 5 days ago
27.7/36Commit cadence — 40/52 weeks with commits
18/18Commit volume — 542 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year542
human_commit_share1
days_since_last_push5
active_weeks_last_year40
How it's scored
27/27Ships releases — 81 releases published
36/36Release recency — latest release 62 days ago
27/27Release cadence — a release every ~34.2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count81
latest_release_tagv4.19.0
releases_from_tagsno
days_since_latest_release62
mean_days_between_releases34.2

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

80Excellent · 17% of overall
How it's scored
55.3/60Stars — 2,573 stars
22.3/25Forks — 481 forks
10.4/15Watchers — 74 watchers
Inputs used
forks481
stars2,573
watchers74
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbestpractices.coreinfrastructure.org, github.com, shields.io
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

62Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.9/22.5Commit distribution — top contributor authored 87% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 82 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled98
top_contributor_share0.872
How it's scored
41.7/42Issue resolution — 99% of issues closed
25.9/30PR acceptance — 502/581 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/26 approved changesets -- score normalized to 0
Inputs used
merged_prs502
open_issues6
closed_issues1,056
prs_merged_7d0
prs_decided_7d1
prs_merged_30d10
prs_decided_30d11
issue_closed_ratio0.994
closed_unmerged_prs79
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.2/25Owner reach — 25 followers of git-cola
15.5/25Track record — 2 public repos, account ~14 yr old
Inputs used
followers25
owner_typeOrganization
is_verifiedno
owner_logingit-cola
public_repos2
account_age_days5,461

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 62 days ago
20/20Version history — 39 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgit-cola
ecosystemspypi
any_deprecatedno
min_days_since_publish62

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://git-cola.gitlab.io/
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsgit-cola, python, git, gui, pyqt5, vcs, git-addons, visualization, osx, linux, windows, cross-platform-gui, qt5, qtpy, rebase, editor, diff, debian, pyqt6, qt6
has_wikino
homepagehttps://git-cola.gitlab.io/
docs_sitehttps://git-cola.gitlab.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

62Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
0/7.5Code-Review — Found 1/26 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 82 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages3
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:git-cola@4.19.0 runtime dependency closure — what installing the published package pulls in — 3 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

60Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — qtpy/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsqtpy/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (qtpy/py.typed)
53.7/55Manageable file sizes — 5/209 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes117,367
source_files_sampled209
oversized_source_files5

Key facts

2,573GitHub stars
98contributors
542commits, last 12 months
5days since last push
81releases
1bus factor
6open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 2573 stars today.

More detail

Star and fork history 2,548 ★ / 481 ⇿
2,548Stars
481Forks
81Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Star history is shown as collected on 2026-07-21. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

05001,0001,5002,0002,5003,0002,548476522009-122018-042026-09
Major 2Minor 23Patch 35

Each point covers 16 days.

OpenSSF Scorecard 5.3 / 10
5.3aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-12 19:29 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests1 out of 1 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
0Code-ReviewFound 1/26 approved changesets -- score normalized to 0
10Contributorsproject has 82 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIpolib>= 1.0.0pyproject.toml
PyPIqtpy>= 1.1.0pyproject.toml
All dependencies 13

Full resolved dependency set from the GitHub dependency graph: 2 direct and 11 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpolib—direct
PyPIqtpy—direct
PyPImsgpack—indirect
PyPImypy1.19.1indirect
PyPIpytest—indirect
PyPIpytest-checkdocs—indirect
PyPIpytest-enabler—indirect
PyPIpytest-ruff—indirect
PyPIrst-linker—indirect
PyPIruff—indirect
PyPIsetuptools—indirect
PyPIsetuptools-scm—indirect
PyPIwebsockets15.0.1indirect
Dependency advisories 0

Installing pypi:git-cola@4.19.0 pulls in 3 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.